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AGENTS
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NVIDIA DGX Spark updates boost agentic AI inference speeds 2.6x
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Is your infrastructure ready for the shift to agentic AI? Discover how the latest NVIDIA DGX Spark updates simplify local agent workflows and boost inference speeds by up to 2.6x using NVIDIA NemoClaw. Read the blog: https://
nvda.ws/4uPi16d -

Anthropic publishes research on accelerated AI and self-improvement
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ANTHROPIC : A new internal research has been published, highlighting an accelerated AI development and a potential path to recursive self-improvement. > Claude Mythos Preview could work for “at least” 16 hours and was “at the upper end of [METR] can measure.” > Today,
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AutoLab: Encoding Persistence in Long-Horizon Agents
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Outstanding paper on long-horizon agents. (bookmark it) Similar to humans, how do you make agents persist on a difficult task, and how is that useful? And which models today work well on this? This new work, AutoLab, explores this question and how encoding persistence in
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Agent Arena evaluates model performance on real agentic tasks.
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This is our most important eval yet – Agent Arena – it measures real performance of models on real agentic tasks. Our users use the Agent Arena, we monitor real signals (e.g. Bash Recovery) as well as their feedback on each task, without user knowing what model completed it.
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Collaborative Battleship shows AI better at answering than asking questions
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"Collaborative Battleship" game has revealed that AI agents are better at answering questions than asking them. CSAIL & SEAS had LMs play together, where Monte Carlo inference strategies helped small agents outpace the largest models at ~1% of the cost: https://
bit.ly/4afOE4T -
Building a bespoke harness for agent context: guide by Sydney Runkle
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Agents are only as good as the context you give them. The job of a harness is to get the model the right context at the right time for a given task. Here’s a guide from @sydneyrunkle on how to build a bespoke harness for your use case.
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Gary Marcus offers ‘truly impressed’ award for AI completing Baldur’s Gate 3
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Offering a “damn, I’m truly impressed” award, for the first person or team to build a domain-general AI system that can play @baldursgate3, start to finish.
— Gary Marcus (@GaryMarcus) 4 juin 2026
Will make the prize especially sweet if you manage this decade. pic.twitter.com/M0f5BCh89pOffering a “damn, I’m truly impressed” award, for the first person or team to build a domain-general AI system that can play @baldursgate3
, start to finish. Will make the prize especially sweet if you manage this decade. -
Flows Agent lets you iterate and modify the pipeline dynamically
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Flows Agent lets you iterate through conversation. Tell it to try a warmer voice, swap the background, or generate a version in Spanish. The agent modifies the pipeline and re-runs without rebuilding from scratch.
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ElevenLabs introduces Flows Agent for automated creative workflow generation
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Introducing Flows Agent in ElevenCreative.
— ElevenLabs (@ElevenLabs) 4 juin 2026
Describe what you want to create and the agent builds your entire workflow – selecting models, creating nodes, wiring connections, and running the generations. pic.twitter.com/m5Dyr77J15Introducing Flows Agent in ElevenCreative. Describe what you want to create and the agent builds your entire workflow – selecting models, creating nodes, wiring connections, and running the generations.
